Software Engineer (Agents)
Company: Mirage
Location: New York, NY, USA
Salary: $175k - $275k per year
Type: Full-time
Posted: 2026-06-20
About this role
- This role focuses on designing and building agentic systems that power creative workflows for short-form video. You’ll help shape how AI agents reduce friction, accelerate learning, and unlock new creative possibilities for our users — building agents that can take creative actions on a user’s behalf — while experimenting with emerging models and techniques to bring these experiences to life in production
- Software Engineers on the agents team work across product, machine-learning, and systems engineering — owning meaningful problems end-to-end and helping define how our agents are built and deployed across the product
- Build and ship end-to-end agentic systems that meaningfully improve creative workflows, balancing quality, performance, and reliability
- Design agent architectures — how agents gather context, plan, select tools, and execute creative tasks reliably at scale
- Integrate state-of-the-art models, combining internal research and external capabilities to power new agent experiences
- Measure and improve agent quality in production, using experimentation, evaluation frameworks, and real-world feedback to guide iteration
### Benefits
- Comprehensive medical, dental, and vision plans
- We’ve done team off-sites to places like Paris, London, Park City, Los Angeles, and Nashville with more planned in the future
- Anything you need to do your best work- A track record of designing and developing ML systems or agentic pipelines in production
- Able to operate effectively in an extremely fast-paced environment and scope and deliver projects end-to-end
- 5+ years of professional industry experience
- Deep experience with context engineering: RAG systems, token optimization, context management at scale
- Experience building evaluation systems and agentic infrastructure (context gathering, tool selection, multi-step planning)
- Exceptional problem solving fundamentals and ability to learn quickly in a rapidly evolving space
- You have worked with multi-agent ...